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survey (version 1.9-2)

analysis of complex survey samples

Description

Summary statistics, generalised linear models, and general maximum pseudolikelihood estimation for stratified, cluster-sampled, unequally weighted survey samples. Variances by Taylor series linearisation or replicate weights

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Version

Install

install.packages('survey')

Monthly Downloads

77,056

Version

1.9-2

License

LGPL

Maintainer

Thomas Lumley

Last Published

March 20th, 2024

Functions in survey (1.9-2)

svyquantile

Summary statistics for sample surveys
svyglm

Survey-weighted generalised linear models.
update.survey.design

Add variables to a survey design
svycoxph

Survey-weighted generalised linear models.
svymle

Maximum likelihood estimation in complex surveys
svyratio

Ratio estimation
subset.survey.design

Subset of survey
withReplicates

Compute variances by replicate weighting
svrepdesign

Specify survey design with replicate weights
svyCprod

Computations for survey variances
brrweights

Compute replicate weights
svrVar

Compute variance from replicates
as.svrepdesign

Convert a survey design to use replicate weights
postStratify

Post-stratify a replicate weight survey
hadamard

Hadamard matrices
svy.varcoef

Sandwich variance estimator for glms
regTermTest

Wald test for a term in a regression model
weights.survey.design

Survey design weights
svydesign

Survey sample analysis.
scd

Survival in cardiac arrest
hospital

Sample of obstetric hospitals
fpc

Small survey example